A5022019065- Infection Control and Ventilation
- Building Energy and Comfort Optimization
- Wind and Air Flow Studies
- Air Quality and Health Impacts
- Air Quality Monitoring and Forecasting
- Indoor Air Quality and Microbial Exposure
- Thermodynamic and Exergetic Analyses of Power and Cooling Systems
- Advanced Thermodynamics and Statistical Mechanics
- Adsorption and Cooling Systems
- Refrigeration and Air Conditioning Technologies
- Energetic Materials and Combustion
- Fire dynamics and safety research
- Solar Thermal and Photovoltaic Systems
- Climate Change and Health Impacts
- Noise Effects and Management
- Heat Transfer and Optimization
- Aerodynamics and Fluid Dynamics Research
- Rocket and propulsion systems research
- Advanced Chemical Sensor Technologies
- Thermal and Kinetic Analysis
- Heat Transfer and Boiling Studies
- Urban Design and Spatial Analysis
- Hygrothermal properties of building materials
- Solar-Powered Water Purification Methods
- BIM and Construction Integration
Tongji University
2017-2024
École Polytechnique Fédérale de Lausanne
2023-2024
Powerchina Huadong Engineering Corporation (China)
2021-2024
PowerChina (China)
2024
Software (Spain)
2024
University of Toronto
2020-2023
California State Polytechnic University
2017
Essential oil products are increasingly used in indoor environments and have been found to negatively contribute air quality. Moreover, the chemicals fragrances emitted by those may affect central nervous system cognitive function. This study uses a double-blind between-subject design investigate impact of exposure emissions from essential an ultrasonic diffuser. In simulated office environment where other environmental parameters were maintained constant, 34 female 25 male university...
With a growing emphasis on indoor air quality (IAQ) in educational environments, CO2 monitoring classrooms has become commonplace. data can be used to estimate outdoor change rate (ACH) based the mass balance principle, which further linked human health, performance, and building energy consumption. This study novel machine learning method automatically segment concentration time series into build-up, equilibrium, decay periods, then estimated classroom ACH using corresponding equations....
Low-cost air quality monitors are increasingly being deployed in various indoor environments. However, data of high temporal resolution from those sensors often summarized into a single mean value, with information about pollutant dynamics discarded. Further, low-cost suffer limitations such as lack absolute accuracy and drift over time. There is growing interest utilizing science machine learning techniques to overcome take full advantage sensors. In this study, we developed an unsupervised...
For the formation and obstacle avoidance problems of wheeled mobile robot, a multi-robot algorithm trajectory tracking based on fabrication method is presented. First kinematics model transformed into chained form, then through canonical coordinate transform, form error system series nonlinear system, Lyapunov function robot constructed by using Backstepping controller for obtained. And according to trajectory, corresponding virtual generated, thus problem machine. Finally simulation...
The benefits of nanofibrous media have been extensively explored in laboratory-scale research but are less clear real filtration applications. Thus, this study investigated the links between size-resolved efficiency mounted portable air cleaners a chamber test and results from cone-shape filter holder more conventional duct test. Results showed similar trend for curves these two experimental tests, despite differences type, challenge aerosol, instrumentation, calculation efficiency....
Decentralized water treatment consists of a variety techniques for dwellings, industrial facilities, homes, and businesses independent the power grid. According to United States Geological Survey, brackish groundwater is abundant in southwestern states including California; hence it can potentially be considered new source California’s portfolio. Most membrane-based desalination technologies (e.g. reverse osmosis) have high energy demand cost. Using renewable (mostly solar photovoltaics)...
Ultrasonic essential oil diffusers (EODs) are a popular type of indoor scenting source. We performed chamber study in which we measured the emissions from EODs used with lemon, lavender, eucalyptus, and grapeseed oils. Over course 15 min, most abundant VOCs released oils were 2.6 ± 0.7 mg d-limonene, 3.5 0.4 eucalyptol, 1.0 0.1 linalyl acetate, 0.2 0.02 respectively. Each had unique particulate matter (PM) emission profile terms size, number density, rate. The dominant size ranges PM 10–100...
Geothermal energy is a characteristic of widely distributed, high capacity factor, reliability, and lower environmental impact potential values. And it will play an important role in achieving the goal carbon neutral peak. Nonetheless, geothermal presents its own particular challenges, i.e., investment cost long payback period. The binary flashing cycle (BFC) system proved to be promising power generation technology due efficient full utilization low-grade heat source. While economic...
Due to its deep utilization of geobrine and high net power output, the binary-flashing cycle (BFC) is deemed be future geothermal energy generation technology. The working fluids considered in present analysis are zeotropic mixtures (R245/R600a). system thermodynamic model built, conventional advanced exergy analyses carried out reveal real optimization potential. It demonstrated that optimal ranges R245fa mass fraction fluid dryness at evaporator outlet 0.30~0.50 0.40~0.60, considering...
Reconstructing the network of life from molecular data is a complicated task. How can computational algebraic geometry play role?
Indoor environmental quality (IEQ) has a profound impact on occupant health, comfort, and performance. Various methods are employed to collect feedback from building users, ranging conventional questionnaires, increasingly utilized physiological monitoring, recently developed automatic facial expression recognition. This study explores the feasibility of detecting perception satisfaction by continuous monitoring parameters compares results with questionnaire results. Using independently...